Brands now pay for results: the per-follower rate card is dying
US agencies and brands now ask for cost per sale, link clicks and engaged views before signing a creator, according to Digiday. Here's why it's happening, who comes out ahead, and how to build a pitch around numbers instead of followers.
Brands now pay for results: the per-follower rate card is dying
US brands and agencies are judging creator deals the way they judge ads bought at auction: cost per sale, cost per signup, link clicks and engaged views, all requested before anyone signs. That's what a Digiday report published on November 9 shows, with executives from five companies in the industry. My take: in Brazil this arrives by the same route, and anyone still sending a media kit with a follower count and a nice photo will lose the negotiation to whoever sends a spreadsheet.
What changed in negotiations?
Followers and virality are no longer the center of the conversation. The report lists what took their place: cost per lead, cost per conversion, return on ad spend and earned media value. Some brands already ask for Instagram link clicks and YouTube engaged views in the very first contact, to decide whether the creator is worth the money.
The quotes given to Digiday show the shift from the inside:
- Joseph Perello, founder of Props, a performance-based creator marketing platform, said "every client has a cost per conversion goal" and that advertisers are redrawing the yardstick to measure how much a creator actually sells.
- Kimberly Duman, partner at talent management firm Glossary Artist, said advertisers want to see "real traffic being generated."
- The agency HYDP looks at 30 days of a creator's content before hiring, views included, but leaves the viral video out of the math, so expectations don't start out inflated.
- Matt Higgins, of the agency Blue Hour, asks for engaged views before negotiating and says the conversation revolves around audience fit, shares and expected performance, with views as just one data point.
Platforms and agencies have also launched dashboards with a creator's history of engagement rate, followers and conversion rate, so the brand can check performance before closing. In practice, a brand can walk into the conversation already knowing your numbers.
Why is this happening now?
Two things add up: more money flowing through creators, and a public metric that became less reliable.
The first is volume. In August, Digiday had already described the "programmatic-ification" of the creator economy: AI tools that find creators, suggest prices, close deals and measure results at scale. Unilever, cited in the piece, works with 300,000 creators. Nobody negotiates that one by one by eye, and anyone buying at scale wants a comparable number.
The second is YouTube's scoreboard. On August 24, 2026, the public view count started counting the moment a video begins to play, with no minimum watch time, as Shorts had done since March 2025. The old metric became the engaged view and stayed in YouTube Analytics (YouTube blog, Digiday). The public view got easier to rack up and harder to use as proof. A measurement by Agentio of 550 Shorts found the public view count to be 65% higher than the engaged one on average, as Lucas detailed in the piece on Shorts stuck at low views. If the number on the shop window is inflated, whoever pays asks for the number that isn't.
Who wins and who loses?
Whoever has an audience that acts wins. Whoever sells size loses.
Winning: the niche creator with a small audience that clicks and buys. When the yardstick is cost per sale, 20,000 followers who trust you can deliver more than 500,000 who just scroll past. It continues the shift I described in brands left the mega influencer behind: the money had already left the big name, and now it's leaving vanity metrics too.
Winning: creators who already work with measurement. A clipper who joins campaigns paid per thousand views is used to seeing their own results as numbers, because that's what they get paid on. That counts as a résumé.
Losing: the profile that grew on one-off viral hits and can't hold an average. HYDP leaving the viral video out is the harshest detail in the report: the 3-million-view video you put at the top of your media kit simply disappears from the analysis.
Losing, in part, the creator themselves, if they accept the whole logic. Payment only on conversion shifts onto you a risk that belongs to the brand: a bad product, a high price, a slow checkout page. You control none of that.
And the market isn't unanimous. Anna Doré, from the shoe brand Rothy's, told Digiday she tracks clicks and sales but gives more weight to the fit between creator and brand. Kimberly Duman, the same person who asked for real traffic, added: "good content will always win." The numbers got a seat at the table; they didn't push everything else out.
Does this already apply in Brazil?
The report covers American agencies, and I couldn't find equivalent research done here. What I can say is that the tools that produce these numbers are the same in Brazil: engaged views in YouTube Analytics, link clicks in Instagram insights, a tracked link and a coupon in any store. When Brazilian brands start asking, the data is available to them too. I'd rather show up with it ready than get caught off guard by a request for proposal.
How to build a rate card that holds up in this conversation
The way to do it is to swap followers for averages and propose a model that shares the risk.
- Take 30 days, without the viral hit. Do exactly what HYDP does: list the videos from the period, remove the outlier and calculate the average engaged views per video. On TikTok, the equivalent is the qualified view, explained by Nicolas in what counts as a qualified view.
- Add up what shows action. Average retention, shares, clicks on the link in your bio or Stories, and any sale you've already tracked with a coupon. Shares weigh more than they seem to; Nicolas showed why in shares are worth more than likes.
- Separate production from results. A flat fee pays for the script, the shoot, the edit and the use of your image. On top of that, a bonus when the video beats your average engaged views or clicks. The brand feels it's paying for what works; you don't work for free if the product doesn't sell.
- Don't accept commission-only without seeing the brand's numbers. If the offer is 100% per sale, ask for the landing page's conversion rate and the average price. Without that, you're betting on someone else's funnel.
- Put the number in the first line. "Average of 18,000 engaged views per video over the last 30 days, 4% link click rate" says more than "120,000 followers." The values are examples: use your own.
For reference values and the pricing models I see working, the guide on how much to charge is still the starting point. And remember that a sponsorship paid per click or sale is still a sponsorship, with the same duty to disclose that I showed in undisclosed sponsored posts.
My take: the media kit became a report
I see this as good news for people who do the work properly and bad news for those who sold size. For years, the price of a sponsored post was back-of-the-napkin math: followers times a factor nobody knew the origin of. The brand paid, didn't know what it had bought, and on the next campaign went after a bigger name.
When the contract is measured, the consistent creator can prove they're consistent. And a format appears that's born measured: a brand that doesn't want to bet on a single name can pay for delivered views, spread across dozens of people. That's what happens in a clipping championship; on Cut.Pro the metrics are read straight from each participant's post and the ranking updates on its own, as I explain in how a clipping championship works.
The catch is the same one critics raised in August's Digiday: a creator isn't an interchangeable ad slot. If everything becomes cost per conversion, the brand will prefer the video that sells today over the one that builds trust over six months, and the audience is who loses. The yardstick I defend is a hybrid: a flat fee for the work, a bonus for results, and the freedom to say bad things about the product when it deserves it.
Starting today, open YouTube Analytics and Instagram insights, build your 30-day average without the viral hit and put that number at the top of your next proposal. If the brand doesn't ask, even better: you get there first.
